数据分析（入门）纳米学位
学位概述
该学位旨在在13 周内快速零基础入门，一站式掌握 Python 和 SQL 两大主流数据分析工具，掌握数据清洗、探索性分析、可视化等基础分析技能。
项目集目录
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**城市PM2.5数据分析
所需技能：python, jupyter notebook, 可视化，商业分析
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探索未来气候发展趋势
所需技能：SQL，Excel，可视化
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探索美国共享单车数据
所需技能：python, pandas, numpy
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探索TMDb电影数据集
所需技能：python, pandas, numpy, matplotlib，可视化，商业分析
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分析A/B测试结果
所需技能：python, jupyter notebook，pandas, numpy, matplotlib，统计与概率，回归模型
Project Portfolio
PM2.5 Data Analysis of Five Cities in China
- Define questions; conduct data wrangling and exploratory data analysis with data visualization and feature engineering
- Draw conclusions based on the results and convey the results and insights with jupyter notebook
Forecast of Weather Trend with Global and Local Weather Data
- Extract both global and local weather data from SQL Database by SQL inquiry and save the file as .CSV file
- Create moving average plots of both global and local weather with Excel spreadsheet
- Draw conclusions from the plots and make comparison between global and local weather trend
Bikeshare Data Analysis
- Load bikeshare data of three cities of Chicago, New York, Washington
- Write python scripts which accept interactive inquiry and provide statistics on the bikeshare data (eg. which route between the start and end station is the most popular? Which day is the busiest?)
Data Analysis on TMDb movie dataset
- Define three questions on TMDb data set; perform data analysis with NumPy and Pandas and data visualization with Matplotlib
- Draw conclusions based on the analysis and convey the results and insights with jupyter notebook
A/B Test Results Analysis
- Perform data analysis and apply inferential statistics on the data set
- Perform A/B test and then logistic regression with Jupyter notebook